Liyan Chen
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Speech and Audio Processing
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- EEG and Brain-Computer Interfaces
Papers in
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- Algorithms and Data Compression 2
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- Caching and Content Delivery 2
- Co-authors
- Weidong Zhou (1 shared paper)Shasha Yuan (1 shared paper)Gai‐Ge Wang (1 shared paper)Philippos Mordohai (1 shared paper)Muwei Jian (1 shared paper)Yong Xu (2 shared papers)Kunhong Liu (4 shared papers)Changli Wu (1 shared paper)
In The Last Decade
Liyan Chen
21 papers receiving 250 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 60
- Cognitive Neuroscience 70
- Computer Vision and Pattern Recognition 74
- Computational Mathematics 2
- Geography, Planning and Development 17
Countries citing papers authored by Liyan Chen
This map shows the geographic impact of Liyan Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Chen more than expected).
Fields of papers citing papers by Liyan Chen
This network shows the impact of papers produced by Liyan Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liyan Chen. The network helps show where Liyan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liyan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2023 | 49 | |
| 3 | 2022 | 31 | |
| 4 | 2023 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 2025 | 6 | |
| 11 | Compression method with constant degree based on permutation and combination | 2008 | 5 |
| 12 | 2022 | 5 | |
| 13 | 2018 | 4 | |
| 14 | The research on algorithm in intelligent grouping test paper | 2004 | 2 |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | Fast Algorithm for Scalar Multiplication in Elliptic Curve Cryptography | 2005 | 1 |
| 18 | 2008 | 1 | |
| 19 | 1993 | 1 | |
| 20 | 2009 | 1 |
About Liyan Chen
Liyan Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Hardware and Architecture, having authored 25 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Geographic Information Systems Studies (3 papers), Data Management and Algorithms (2 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers), Caching and Content Delivery (2 papers), Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Technology-Enhanced Education Studies (2 papers). The work is most often cited by research in Signal Processing (60 citations), Cognitive Neuroscience (70 citations), Computer Vision and Pattern Recognition (74 citations), Computational Mathematics (2 citations) and Geography, Planning and Development (17 citations). Liyan Chen has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Weidong Zhou, Shasha Yuan, Gai‐Ge Wang, Philippos Mordohai, Muwei Jian, Yong Xu, Kunhong Liu, Changli Wu, Jiaxin Ye and Yan Luo. Their work appears in journals such as Pattern Recognition, Speech Communication, ISPRS International Journal of Geo-Information, International Journal of Neural Systems and Transactions in GIS.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.